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Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization
Fingerprinting techniques, which utilize the unique chemical and physical properties of food samples, have emerged as a promising approach for food authentication and traceability. Recent studies have demonstrated significant advancements in food authentication through the use of fingerprinting meth...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622188/ https://www.ncbi.nlm.nih.gov/pubmed/37928250 http://dx.doi.org/10.1155/2023/1465773 |
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author | Nguyen-Quang, Trung Bui-Quang, Minh Pham-Van, Thinh Le-Van, Nhan Nguyen-Hoang, Khanh Nguyen-Minh, Duc Phung-Thi, Tinh Le-Viet, Anh Tran-Ha Minh, Duc Nguyen-Tien, Dat Hoang-Le, Tuan-Anh Truong-Ngoc, Minh |
author_facet | Nguyen-Quang, Trung Bui-Quang, Minh Pham-Van, Thinh Le-Van, Nhan Nguyen-Hoang, Khanh Nguyen-Minh, Duc Phung-Thi, Tinh Le-Viet, Anh Tran-Ha Minh, Duc Nguyen-Tien, Dat Hoang-Le, Tuan-Anh Truong-Ngoc, Minh |
author_sort | Nguyen-Quang, Trung |
collection | PubMed |
description | Fingerprinting techniques, which utilize the unique chemical and physical properties of food samples, have emerged as a promising approach for food authentication and traceability. Recent studies have demonstrated significant advancements in food authentication through the use of fingerprinting methods, such as multivariate statistical analysis techniques applied to trace elements and isotope ratios. However, further research is required to optimize these methods and ensure their validity and reliability in real-world applications. In this study, the inductively coupled plasma mass spectrometry (ICP-MS) analytical method was employed to determine the content of 21 elements in 300 cashew nut (Anacardium occidentale L.) samples from 5 brands. Multivariate statistical methods, such as principal components analysis (PCA), were employed to analyze the data obtained and establish the provenance of the cashew nuts. While cashew nuts are widely marketed in many countries, no universal method has been utilized to differentiate the origin of these nuts. Our study represents the initial step in identifying the geographical origin of commercial cashew nuts marketed in Vietnam. The analysis showed significant differences in the means of 21 of the 40 analyzed elements among the cashew nut samples from the 5 brands, including (7)Li, (11)B, (24)Mg, (27)Al, (44)Ca, (48)Ti, (51)V, (52)Cr, (55)Mn, (57)Fe, (60)Ni, (63)Cu, (66)Zn, (93)Nb, (98)Mo, (111)Cd, (115)In, (121)Sb, (138)Ba, (208)Pb, and (209)Bi. The PCA analysis indicated that the cashew nut samples can be accurately classified according to their original locations. This research serves as a prerequisite for future studies involving the combination of elemental composition analysis with statistical classification methods for the accurate establishment of cashew nut provenance, which involves the identification of key markers for the original discrimination of cashew nuts. |
format | Online Article Text |
id | pubmed-10622188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-106221882023-11-03 Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization Nguyen-Quang, Trung Bui-Quang, Minh Pham-Van, Thinh Le-Van, Nhan Nguyen-Hoang, Khanh Nguyen-Minh, Duc Phung-Thi, Tinh Le-Viet, Anh Tran-Ha Minh, Duc Nguyen-Tien, Dat Hoang-Le, Tuan-Anh Truong-Ngoc, Minh J Anal Methods Chem Research Article Fingerprinting techniques, which utilize the unique chemical and physical properties of food samples, have emerged as a promising approach for food authentication and traceability. Recent studies have demonstrated significant advancements in food authentication through the use of fingerprinting methods, such as multivariate statistical analysis techniques applied to trace elements and isotope ratios. However, further research is required to optimize these methods and ensure their validity and reliability in real-world applications. In this study, the inductively coupled plasma mass spectrometry (ICP-MS) analytical method was employed to determine the content of 21 elements in 300 cashew nut (Anacardium occidentale L.) samples from 5 brands. Multivariate statistical methods, such as principal components analysis (PCA), were employed to analyze the data obtained and establish the provenance of the cashew nuts. While cashew nuts are widely marketed in many countries, no universal method has been utilized to differentiate the origin of these nuts. Our study represents the initial step in identifying the geographical origin of commercial cashew nuts marketed in Vietnam. The analysis showed significant differences in the means of 21 of the 40 analyzed elements among the cashew nut samples from the 5 brands, including (7)Li, (11)B, (24)Mg, (27)Al, (44)Ca, (48)Ti, (51)V, (52)Cr, (55)Mn, (57)Fe, (60)Ni, (63)Cu, (66)Zn, (93)Nb, (98)Mo, (111)Cd, (115)In, (121)Sb, (138)Ba, (208)Pb, and (209)Bi. The PCA analysis indicated that the cashew nut samples can be accurately classified according to their original locations. This research serves as a prerequisite for future studies involving the combination of elemental composition analysis with statistical classification methods for the accurate establishment of cashew nut provenance, which involves the identification of key markers for the original discrimination of cashew nuts. Hindawi 2023-10-26 /pmc/articles/PMC10622188/ /pubmed/37928250 http://dx.doi.org/10.1155/2023/1465773 Text en Copyright © 2023 Trung Nguyen-Quang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Nguyen-Quang, Trung Bui-Quang, Minh Pham-Van, Thinh Le-Van, Nhan Nguyen-Hoang, Khanh Nguyen-Minh, Duc Phung-Thi, Tinh Le-Viet, Anh Tran-Ha Minh, Duc Nguyen-Tien, Dat Hoang-Le, Tuan-Anh Truong-Ngoc, Minh Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization |
title | Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization |
title_full | Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization |
title_fullStr | Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization |
title_full_unstemmed | Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization |
title_short | Classification of Vietnamese Cashew Nut (Anacardium occidentale L.) Products Using Statistical Algorithms Based on ICP/MS Data: A Study of Food Categorization |
title_sort | classification of vietnamese cashew nut (anacardium occidentale l.) products using statistical algorithms based on icp/ms data: a study of food categorization |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622188/ https://www.ncbi.nlm.nih.gov/pubmed/37928250 http://dx.doi.org/10.1155/2023/1465773 |
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